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. Author manuscript; available in PMC: 2015 Feb 1.
Published in final edited form as: Neuroimage. 2012 Dec 13;86:43–52. doi: 10.1016/j.neuroimage.2012.12.004

Table 1.

Summary description of analysis methods.

Fitting method AMARES (jMRUI) Gannet LC-MODEL Tarquin
DATA format GE, Philips, Siemens GE, Philips, Siemens GE, Philips, Siemens GE, Philips, Siemens
Frequency correction Optional automatic processing Automatic Optional pre-processing step. Not part of the LC Model package Optional automatic processing
Water subtraction Optional semi-automatic processing Optional automatic processing Not performed Optional automatic
Calculation of edited spectrum Manual Automatic Pre-processing required Automatic
GABA model User choice – singlet or doublet, prior knowledge for Gaussian or Lorentzian Singlet, Gaussian Basis set uses simulated or phantom spectra. Two Gaussian singlets
Concentration estimates User choice of reference to water, Cr NAA Automatic reference to water and Cr Automatic reference to water or user choice of NAA, Cr Automatic reference to water or user choice of Cr, NAA
Quality measures SD of residual SD of residual, rejection of data with poor quality, or excessive motion CRLB SD of residuals
Analysis of non-edited spectrum Single, or double peak model Single peak model Metabolite basis set analysis Metabolite basis set analysis